Shared genomic segments analysis identifies MHC class I and class III molecules as genetic risk factors for juvenile idiopathic arthritis.

IF 3.3 Q2 GENETICS & HEREDITY
HGG Advances Pub Date : 2024-04-11 Epub Date: 2024-02-18 DOI:10.1016/j.xhgg.2024.100277
Cecile N Avery, Nicole D Russell, Cody J Steely, Aimee O Hersh, John F Bohnsack, Sampath Prahalad, Lynn B Jorde
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引用次数: 0

Abstract

Juvenile idiopathic arthritis (JIA) is a complex rheumatic disease encompassing several clinically defined subtypes of varying severity. The etiology of JIA remains largely unknown, but genome-wide association studies (GWASs) have identified up to 22 genes associated with JIA susceptibility, including a well-established association with HLA-DRB1. Continued investigation of heritable risk factors has been hindered by disease heterogeneity and low disease prevalence. In this study, we utilized shared genomic segments (SGS) analysis on whole-genome sequencing of 40 cases from 12 multi-generational pedigrees significantly enriched for JIA. Subsets of cases are connected by a common ancestor in large extended pedigrees, increasing the power to identify disease-associated loci. SGS analysis identifies genomic segments shared among disease cases that are likely identical by descent and anchored by a disease locus. This approach revealed statistically significant signals for major histocompatibility complex (MHC) class I and class III alleles, particularly HLA-A∗02:01, which was observed at a high frequency among cases. Furthermore, we identified an additional risk locus at 12q23.2-23.3, containing genes primarily expressed by naive B cells, natural killer cells, and monocytes. The recognition of additional risk beyond HLA-DRB1 provides a new perspective on immune cell dynamics in JIA. These findings contribute to our understanding of JIA and may guide future research and therapeutic strategies.

"共享基因组片段分析表明,MHC I 类和 III 类分子是幼年特发性关节炎的遗传风险因素。
幼年特发性关节炎(JIA)是一种复杂的风湿性疾病,包括几种临床上定义的严重程度不同的亚型。JIA 的病因在很大程度上仍不清楚,但全基因组关联研究(GWAS)已发现多达 22 个与 JIA 易感性相关的基因,其中包括与 HLA-DRB1 确立的关联。疾病的异质性和低患病率阻碍了对遗传风险因素的继续研究。在这项研究中,我们利用共享基因组片段(SGS)分析法,对来自 12 个多代血统中明显富集 JIA 的 40 个病例进行了全基因组测序。在大型扩展系谱中,病例的子集由共同祖先连接,从而提高了鉴定疾病相关位点的能力。SGS 分析可确定疾病病例之间共享的基因组片段,这些片段很可能在血统上是相同的,并由疾病基因座锚定。这种方法揭示了主要组织相容性复合体(MHC)Ⅰ类和Ⅲ类等位基因的显著统计学信号,尤其是在病例中高频出现的 HLA-A*02:01。此外,我们还在 12q23.2-23.3 处发现了一个额外的风险基因座,其中包含的基因主要由幼稚 B 细胞、自然杀伤细胞和单核细胞表达。除了HLA-DRB1之外,我们还发现了一个额外的风险位点,这为我们了解JIA的免疫细胞动态提供了一个新的视角。这些发现有助于我们了解 JIA,并可指导未来的研究和治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
HGG Advances
HGG Advances Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
4.30
自引率
4.50%
发文量
69
审稿时长
14 weeks
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